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Erschienen in: Soft Computing 17/2017

03.10.2016 | Focus

Non-intrusive quantification of performance and its relationship to mood

verfasst von: Davide Carneiro, André Pimenta, José Neves, Paulo Novais

Erschienen in: Soft Computing | Ausgabe 17/2017

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Abstract

The number of jobs that takes place entirely or partially in a computer is nowadays very significant. These workplaces, as many others, often offer the key ingredients for the emergence of stress and the performance drop of its long-term effects: long hours sitting, sustained cognitive effort, pressure from competitiveness, among others. This has a toll on productivity and work quality, with significant costs for both organizations and workers. Moreover, a tired workforce is generally more susceptible to negative feelings and mood, which results in a negative environment. This paper contributes to the current need for the development of non-intrusive methods for monitoring and managing worker performance in real time. We propose a framework that assesses worker performance and a case study in which this approach was validated. We also show the relationship between performance and mood.

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Metadaten
Titel
Non-intrusive quantification of performance and its relationship to mood
verfasst von
Davide Carneiro
André Pimenta
José Neves
Paulo Novais
Publikationsdatum
03.10.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 17/2017
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-016-2380-y

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